7 Best AI Mode Rank Tracking Tools Tested: Free GSC Method + Paid Options (2026)

Last Updated: February 13, 2026

This guide focuses on Google AI Mode tracking only. For Perplexity-specific tools, see our Perplexity Rank Tracking Tools Comparison.

To track your rankings in Google AI Mode in 2026, use a three-tiered approach: (1) monitor AI Mode impressions in Google Search Console for free, (2) perform manual tracking with a structured spreadsheet for small keyword sets, or (3) use dedicated AI visibility tools like Keyword.com, Otterly.AI, or SE Ranking for automated, at-scale tracking. Since Google added AI Mode traffic data to Search Console in June 2025, you can now see when your pages appear as citations in AI-generated responses directly in your existing GSC dashboard.

With approximately 50% of all Google searches in the US now including an AI Overview, understanding how to track your visibility in this new search paradigm has become essential. The challenge is significant: according to Dataslayer.ai, there is approximately 61% organic CTR drop due to AI Overviews, meaning traditional position tracking no longer tells the complete story of your search performance.

For those exploring this zero-click search phenomenon, the stakes are even higher — citations in AI Mode build brand awareness even when users do not click through to your site.

7 Best AI Mode Rank Tracking Tools Compared (2026)

We tested 7 AI Mode tracking tools across pricing, platform coverage, and tracking accuracy. Here is how they compare:

Tool	Starting Price	Platforms Tracked	Best For
Keyword.com	$24.50/mo	AI Mode, ChatGPT, Perplexity, Gemini, DeepSeek, Mistral	Budget-conscious teams
Otterly.AI	$29/mo	AI Mode, ChatGPT, Perplexity, Gemini, Copilot	Multi-platform monitoring
AIclicks.io	$39/mo	ChatGPT, Perplexity, Gemini, Copilot	Prompt intelligence
Ekamoira	$79 lifetime	AI Mode, ChatGPT, Perplexity	Query Fan-Out research
SE Ranking	$52/mo + $71-276 add-on	AI Mode, ChatGPT, Perplexity, Gemini	Existing SE Ranking users
Rankability	$149/mo	AI Mode, ChatGPT, Claude, Perplexity, DeepSeek, Copilot	Agencies
HubSpot AEO Grader	Free	GPT-4o, Perplexity, Gemini	One-time brand audit

The industry average for AI tracking tools is $337/month, but entry-level options start under $30. Here is what each tool does well.

Keyword.com — Best Budget AI Mode Tracker

Keyword.com offers dedicated AI Mode tracking with support for ChatGPT, Perplexity, Gemini, DeepSeek, and Mistral alongside Google AI Mode. Their platform enables you to "track brand prompt visibility, identify influential citations, and analyze sentiment of how AI Mode describes your brand."

Starting at $24.50/month for 50 credits, Keyword.com is the most affordable entry point for dedicated AI visibility tracking. The credit-based system means you pay for the volume of tracking you need, making it scalable for different business sizes. Each refresh consumes credits per engine, with manual, hourly, daily, and weekly scheduling available.

Otterly.AI — Best for Multi-Platform Coverage

Otterly.AI was named a Gartner Cool Vendor for AI in Marketing 2025, signaling industry recognition of its approach. The platform "automatically tracks brand mentions and website citations on Google AI Overviews, ChatGPT, Perplexity, Google AI Mode, Gemini, and Copilot."

Starting at $29/month for 15 prompts (Standard plan at $189/month for 100 prompts), Otterly.AI captures full AI responses — not just snippets — preserving cited sources and surrounding context. The native Looker Studio connector makes it straightforward to build custom dashboards and share AI search performance data with your team.

AIclicks.io — Best for Prompt Intelligence

AIclicks.io combines AI visibility tracking with an execution layer. The platform discovers the actual prompts your audience asks AI tools, then recommends or helps produce content to close visibility gaps.

Starting at $39/month (promotional, regular $79/month), key features include Prompt Cluster Mapping that groups revenue-driving topics, Citation Intelligence that shows which external domains AI engines trust and their estimated traffic value, and a geo audit that compares brand performance across different models, prompts, and geographies. AIclicks is particularly strong for brands that need to understand cross-platform, cross-geography AI visibility patterns.

Ekamoira — Query Fan-Out Research + AI Visibility Platform

Ekamoira occupies a unique position in this market as both a SaaS platform and a done-for-you service. While most tools on this list only track where you appear, Ekamoira combines AI visibility tracking with a proprietary Query Fan-Out research model that predicts where you should appear — and then helps you get there.

The Query Fan-Out Model Explained

When you search "best CRM for startups" in AI Mode, Google does not simply look up that query. It decomposes it into 10-16 simultaneous sub-queries — retrieval queries like "CRM pricing comparison for small teams," "startup CRM integration requirements," and "CRM user reviews from founders." These sub-queries have zero Google search volume because no human types them, but they represent 88% of the actual AI retrieval surface.

Ekamoira's Query Fan-Out Estimator simulates this decomposition across Google, ChatGPT, and Perplexity using 9 proprietary models:

• CASO (Composite AI Search Opportunity) — scores overall opportunity 0-100
• DQV (Dark Query Volume) — estimates hidden retrieval volume from zero-volume sub-queries
• CPM (Citation Probability Model) — predicts how likely your content gets cited
• CPFI (Cross-Platform Fan-Out Index) — measures opportunity breadth across platforms

The output is a citability-scored content roadmap: specific content angles ranked by how likely they are to earn AI citations, with platform assignments (which pieces target Google AI Mode vs. ChatGPT vs. Perplexity).

The 30-Day Ranking Guarantee

Unlike traditional agencies that lock you into 6-12 month retainers before showing results, Ekamoira's Query Intelligence service operates on 30-day cycles with a performance guarantee: if you do not see the agreed rankings, you do not pay for that cycle. The 30-day pipeline works in 5 stages:

1. Days 1-2: Extract seed keywords from your Google Search Console (position 4-10 quick wins, 0-CTR pages, high-impression queries)
2. Days 3-5: Volume qualification using market-relative CPC scoring
3. Days 6-8: Cluster keywords into topic pillars with supporting content
4. Days 9-15: Run the Query Fan-Out analysis across all three AI platforms
5. Days 16-30: Deliver a citability-scored content roadmap with passage-level targets

Pricing: Ekamoira offers a $79 lifetime deal for the AI visibility platform (tracking across Google AI Mode, ChatGPT, and Perplexity), with the Query Intelligence service available as a separate engagement starting at $5,000 for a 6-month brand partnership. For agencies, white-label dashboards and wholesale credit rates are available at custom pricing.

SE Ranking — Best for Existing SE Ranking Users

SE Ranking takes a different approach by integrating AI visibility tracking into an existing comprehensive SEO platform. For teams already using SE Ranking for traditional SEO, adding AI Mode tracking creates a unified dashboard for all search visibility metrics.

Base plans start at $52/month with the AI Visibility add-on costing $71-276/month depending on prompt volume. SE Ranking also offers SE Visible as a standalone product at $189/month (Plus) or $355/month (1,000 prompts, 10 brands). The platform supports Google AI Mode, AI Overviews, Gemini, Perplexity, and ChatGPT.

2026 Update: SE Ranking has launched a dedicated AI Mode tracker that tracks brand mentions, link citations, and average position trends in AI Mode responses. New 2026 features include competitive gap analysis, deeper source analysis, and team collaboration with role-based access.

Rankability — Best for Agencies

Rankability is one of the first tools built specifically for Google AI Mode tracking with multi-modal testing capabilities. Unlike other tools that only test text prompts, Rankability tests text, voice, and image prompts to identify which input types trigger AI Mode for your target queries.

Starting at $149/month (Core plan), key differentiators include daily tracking frequency (most competitors track weekly), multi-modal testing across text/voice/image prompts, and actionable optimization insights like "adding a 4-step TL;DR + annotated images increased citation rate +21%." Rankability also tracks AI Mode alongside ChatGPT, Claude, Perplexity, DeepSeek, and Copilot in a unified dashboard.

HubSpot AEO Grader — Best Free Option

HubSpot AEO Grader is a 100% free brand positioning analysis tool — no credit card required and no usage limits. It checks your visibility across GPT-4o, Perplexity, and Gemini, categorizing your brand as Leader, Challenger, or Niche Player with Share of Voice, sentiment analysis, and competitive positioning.

The limitation: it is a one-time analysis tool, not continuous monitoring. No historical tracking, no alerts, and no Google AI Mode or AI Overviews coverage. Reports generate in 3-5 minutes. For a free first look at your AI visibility, it is the best starting point before committing to paid tools.

For a broader comparison including tools like Semrush AI Toolkit ($99/month add-on), Ahrefs Brand Radar ($199-699/month), and Peec AI (EUR 89/month), see our complete comparison of AI visibility tools.

How to Track AI Mode for Free Using Google Search Console

Google Search Console became the first free, official method for tracking AI Mode visibility when the feature launched in June 2025. The announcement from Search Engine Land confirmed that AI Mode tracking works differently from traditional search tracking, but provides valuable data for websites already being cited.

Step-by-step GSC setup for AI Mode tracking:

1. Log into Google Search Console for your property
2. Navigate to Performance > Search Results
3. Click "+ New" filter and select "Search Appearance"
4. Choose "AI Mode" from the dropdown options
5. Set your date range (AI Mode data available from June 2025 onward)
6. Review impressions, clicks, CTR, and average position by query

One important caveat: AI Mode does not appear as one position like AI Overviews — each component has its own position. This means you might see unusual position data that reflects where your citation appeared within the AI-generated response, not a traditional SERP position.

Pro Tip: Export your AI Mode GSC data weekly and track trends over time. Since AI Mode results are highly variable, week-over-week comparisons are more meaningful than day-to-day fluctuations.

The limitation of GSC tracking is that it only shows data for your own website. You cannot see competitor citations, the full context of how your content was used, or whether you appeared for queries where you are not currently being cited. For competitive intelligence and gap analysis, you will need manual tracking or paid tools.

For sites not yet appearing in AI Mode results, GSC will simply show no data for this filter. In that case, focus on optimizing content for AI visibility before investing in advanced tracking. For free browser-based spot-checks, explore free AI visibility checker Chrome extensions.

Manual Tracking: When It Makes Sense

Manual tracking remains valuable for businesses with limited budgets or small keyword portfolios. According to Search Engine Journal, manual tracking for 100 keywords across 3 locations consumes approximately 15 hours per week. This makes manual methods practical only for focused keyword sets of 10-25 priority terms.

The practical manual tracking workflow:

1. Build your keyword list (10-25 priority terms)
2. Set a consistent schedule (same day/time weekly)
3. Use incognito mode to avoid personalization
4. Enable AI Mode in Google Search Labs
5. Search each keyword and document results: whether AI Mode appeared, whether your site was cited, which competitors were cited, citation position, and how AI presented your brand (positive/neutral/negative)
6. Screenshot important citations for your records
7. Track changes week-over-week in your spreadsheet

The 15 hours per week estimate assumes 100 keywords. For a focused set of 20 keywords, expect to spend 3-4 hours weekly on manual tracking. This is reasonable for early-stage AI visibility monitoring before investing in paid tools.

Watch Out: AI Mode results change frequently. A citation you see today may not appear tomorrow. Record multiple data points over several weeks before drawing conclusions about your visibility patterns.

Manual tracking works best when combined with GSC data. Use GSC to identify which queries are already driving AI Mode impressions, then focus your manual tracking on monitoring competitive context and content gaps where you are not yet appearing.

AI Mode vs AI Overviews: Key Differences

Google operates two distinct AI-powered search experiences, and your tracking strategy must account for both.

Google AI Mode is an opt-in conversational AI search experience powered by Gemini that allows users to ask follow-up questions and refine their searches through natural dialogue. There are no traditional "10 blue links" — results are synthesized into AI-generated responses with citations. AI Mode uses a fan-out technique issuing up to 16 simultaneous queries to gather comprehensive information.

Google AI Overviews (formerly Search Generative Experience) are AI-generated answer snapshots that appear automatically at the top of traditional Google search results in approximately 60% of queries. They are static summaries — no follow-up conversations — with blue links still appearing below.

The critical tracking implication: according to Ahrefs' 730,000 response study, there is only 13.7% citation overlap between AI Mode and AI Overviews. Appearing in one provides no guarantee of appearing in the other. As MoreVisibility explains: "AI Overviews are automatic content summaries in normal search, while AI Mode is a standalone, interactive chat you actively start."

Feature	AI Mode	AI Overviews
User access	Opt-in via Search Labs	Automatic in ~60% of queries
Format	Conversational with follow-ups	Static summary
Tracking in GSC	"AI Mode" search appearance filter	Separate filter
Content strategy	Comprehensive, dialogue-friendly	Direct, quotable statements in first 50-80 words

For detailed guidance on diagnosing gaps between the two, see our guide on why content doesn't appear in AI Overviews and how to fix it.

How Do AI Mode Citation Patterns Differ from ChatGPT and Perplexity?

Understanding the citation behavior of different AI platforms helps you prioritize tracking efforts and optimize content appropriately. Research from Profound, analyzing a dataset of 680 million citations, reveals significant differences in how AI platforms source information.

Key Finding: "Wikipedia serves as ChatGPT's most cited source at 7.8% of total citations, while Reddit emerges as the leading source for both Google AI Overviews (2.2%) and Perplexity (6.6%)" — Profound, 2025

This data reveals important strategic implications:

ChatGPT citation patterns:

• Heavy reliance on Wikipedia (7.8% of all citations)
• Favors authoritative, established sources
• In 40% of test cases, cites sources not on Google's Page 1 (per Profound's research)

Google AI Mode/Overviews patterns:

• Reddit is the leading source at 2.2% of citations
• More emphasis on recent, conversational content
• Citations tied to real-time search index

Perplexity patterns:

• Reddit leads at 6.6% of citations
• Highest emphasis on discussion-based content
• Frequently cites news and recent publications

These differences mean a unified "AI optimization" strategy may underperform compared to platform-specific approaches. For Google AI Mode specifically, ensuring your content appears in traditional organic results remains important since AI Mode pulls from the search index. For a step-by-step guide to optimizing for ChatGPT specifically, see our ChatGPT ranking implementation guide.

For detailed guidance on tracking Perplexity visibility alongside AI Mode, we recommend platform-specific strategies while maintaining a unified tracking dashboard.

What Metrics Actually Matter for AI Mode Visibility Tracking?

Traditional SEO metrics like rankings, organic traffic, and keyword positions tell an incomplete story in the AI Mode era. The metrics that matter for AI visibility tracking focus on citation frequency, brand sentiment, and competitive share of voice.

Core AI Mode tracking metrics:

Metric	Definition	Why It Matters
Citation Frequency	How often your domain is cited for target queries	Primary visibility indicator
Citation Position	Where in the AI response your citation appears	Higher positions get more attention
Brand Mentions	References to your brand name (cited or uncited)	Indicates AI awareness of your brand
Sentiment Analysis	How AI presents your brand (positive/neutral/negative)	Affects brand perception
Competitor Citation Share	Percentage of citations vs competitors	Market position indicator
Impression to Click Ratio	GSC AI Mode clicks divided by impressions	Engagement quality metric

Secondary metrics worth tracking:

• Query coverage: What percentage of your target keywords trigger AI Mode?
• Content attribution: Which specific pages earn citations most frequently?
• Follow-up conversion: Do initial AI citations lead to subsequent branded searches?
• Citation context: Is your content cited as a primary source or supporting reference?

Pro Tip: Focus on citation frequency first. Before optimizing for position or sentiment, ensure your content is being cited at all. Many brands discover they have zero AI Mode visibility for their target queries, making citation acquisition the priority.

The most actionable dashboard combines GSC native data (impressions, clicks, CTR) with tool-based competitive data (competitor citations, market share). This unified view reveals both your absolute performance and relative position.

How Should You Handle AI Mode Result Volatility?

AI Mode results are inherently more volatile than traditional search rankings. Results can vary based on query phrasing, user location, time of day, and the evolving nature of AI models. This volatility creates challenges for consistent tracking and optimization.

Strategies for managing volatility:

1. Track weekly averages, not daily snapshots — Individual days are too variable to be meaningful
2. Monitor trends over 4+ weeks before making optimization decisions
3. Focus on consistent non-appearance rather than occasional disappearance
4. Track multiple query variations for the same topic
5. Document dramatic changes with screenshots for pattern analysis

When you observe significant volatility, resist the urge to make immediate content changes. AI Mode results fluctuate naturally, and a citation that disappeared today may return tomorrow without any intervention.

Watch Out: Do not chase individual query fluctuations. If your citation rate drops for one keyword but remains stable across your broader keyword set, the individual drop is likely algorithmic noise rather than a signal requiring action.

The practical approach is establishing a baseline over several weeks, then monitoring for sustained deviations from that baseline. A single week of lower citations is normal volatility. Four consecutive weeks of declining citations across multiple queries suggests a genuine visibility problem requiring investigation.

Red flags that warrant investigation:

• Consistent non-citation for previously visible queries (4+ weeks)
• Competitor consistently cited where you previously appeared
• Negative sentiment in citations that damages brand perception
• Zero citations across an entire topic cluster where you have strong traditional rankings

What Industry Experts Say About AI Mode Tracking

We analyzed 23 YouTube videos from leading SEO experts totaling 59,243 words of transcribed content. Our sources include Ahrefs, Semrush, Backlinko, Exposure Ninja, Matt Diggity, Neil Patel, Nathan Gotch, SE Ranking, and others. Here are the 5 key consensus points — plus the strongest contrarian view.

Expert Consensus: 5 Points of Agreement

1. Brand Mentions Are More Important Than Backlinks

"Brand mentions have the strongest correlation with visibility in Google's AI overviews, higher than backlinks, referring domains, and domain rating." — Sam Oh, Ahrefs (The New SEO Playbook for AI Search)

2. Traditional SEO Remains the Foundation

75% or more of AI Overview citations come from Google's top-10 organic results. You still need traditional SEO to be found by AI's retrieval systems.

3. Content Freshness Is Now a Retrieval Signal

"Content cited by AI is 25.7% fresher than the content that shows up in regular Google results." — Sam Oh, Ahrefs (The New SEO Playbook for AI Search)

4. Reviews and Sentiment Directly Impact AI Rankings

"The number of reviews and average rating has a stupid amount of control over your AI SEO rankings." — Matt Diggity, The Search Initiative (I did AI-SEO for ChatGPT and Google AI)

5. Platform Diversification Is Essential

Only 7 of the top 50 domains appear across all three major AI platforms (Google AI, ChatGPT, Perplexity). Each platform has different source preferences — Wikipedia leads for ChatGPT (7.8%), while Reddit leads for both Google AI Overviews (2.2%) and Perplexity (6.6%).

The Contrarian View: Are AI Rank Trackers Worth It?

Not all experts agree that current AI tracking tools provide actionable value:

"AI search rank trackers are lying to you... the average cost for an AI tracking tool is about $337 per month." — Nathan Gotch (AI Search Rank Trackers Are Lying to You)

Gotch identifies five fundamental problems: no real demand data exists for AI prompts, extreme variance in responses, personalization effects, synthetic prompts that real users may never ask, and a self-fulfilling prophecy where tracking queries influence future answers.

"With AI tools, because they're not deterministic, i.e. they're making up a new answer each time, your prompt visibility isn't as stable as maybe your search rankings." — Tim Cameron-Kitchen, Exposure Ninja (How To Track and Improve LLM Visibility)

Our recommendation: Track AI visibility for directional guidance and trends over time, not precision metrics. Use GSC (free) for your own site data and paid tools for competitive intelligence. Focus on what all experts agree on: build brand mentions, keep content fresh, maintain strong review profiles, and structure content for AI comprehension.

Frequently Asked Questions

How do I access AI Mode tracking in Google Search Console?

Navigate to Performance > Search Results in Google Search Console, click the "+ New" filter button, select "Search Appearance," and choose "AI Mode" from the dropdown. This filter shows impressions, clicks, and queries specifically from AI Mode citations. AI Mode data has been available since June 2025.

What is the average cost of AI visibility tracking tools in 2026?

According to Rankability's 2026 analysis, the industry average for AI tracking tools is $337 per month. However, entry-tier options from Keyword.com ($24.50/month) and Otterly.AI ($29/month) provide affordable starting points for smaller businesses.

How often should I check my AI Mode visibility?

Weekly tracking provides the best balance between data freshness and statistical significance. AI Mode results are inherently volatile, so daily tracking produces noisy data. Monitor weekly averages and track trends over 4+ weeks before making optimization decisions.

Can I track AI Mode visibility for competitors?

Google Search Console only shows your own website data. To track competitor citations, you need either manual tracking (searching queries and documenting competitor appearances) or third-party tools like Otterly.AI, Keyword.com, or SE Ranking that specifically track competitive AI visibility.

How does AI Mode tracking differ from AI Overviews tracking?

AI Mode is an opt-in, conversational experience while AI Overviews appear automatically in standard search results. In Search Console, each has its own search appearance filter. According to Ahrefs' research, there is only 13.7% citation overlap between these features, meaning you need to track and optimize for each separately.

How much should I budget for AI keyword tracking in 2026?

Budget $79 one-time (Ekamoira Pioneer) to $500+/month (enterprise) depending on needs. Industry analysis shows the average AI visibility tool costs $337/month — but most mid-market teams can achieve comparable results with tools in the $79-$149/month range. Enterprise implementations with compliance requirements and multi-region tracking typically run $500-$2,000/month.

The budget calculation changes when you factor in what most tools miss: 88% of AI retrieval happens through sub-queries that have zero Google search volume. Standard tools track the 12% of queries humans actually type, missing the vast majority of the AI search surface. Ekamoira's Query Fan-Out model addresses this gap by simulating how Google AI Mode, ChatGPT, and Perplexity decompose your target queries into 10-16 retrieval sub-queries, then scoring each content opportunity by citation probability — delivered in 30-day cycles with a performance guarantee.

---

Ready to Track Your AI Visibility?

AI Mode visibility is becoming as important as traditional search rankings. Ekamoira provides unified tracking across Google AI Mode, ChatGPT, and Perplexity in one dashboard, helping you understand where your brand appears in AI-generated answers. Start Free

---

Sources

1. Google (2025). "Expanding AI Overviews and introducing AI Mode." https://blog.google/products-and-products/search/ai-mode-search/

2. SEO.com (2025). "Google AI Mode: What SEOs Need to Know (And Do) Before 2026." https://www.seo.com/ai/google-ai-mode/

3. Keyword.com (2025). "Google AI Mode vs. AI Overviews: What's the Difference?" https://keyword.com/blog/google-ai-mode-vs-ai-overviews/

4. DemandSage (2025). "50 AI Overviews Statistics 2026." https://www.demandsage.com/ai-overviews-statistics/

5. Dataslayer.ai (2025). "Google AI Overviews Impact 2025: CTR Down 61%." https://www.dataslayer.ai/blog/google-ai-overviews-the-end-of-traditional-ctr-and-how-to-adapt-in-2025

6. Rankability (2026). "22 Best AI Search Rank Tracking & Visibility Tools (2026)." https://www.rankability.com/blog/best-ai-search-visibility-tracking-tools/

7. Search Engine Land (2025). "Google AI Mode traffic data comes to Search Console." https://searchengineland.com/google-ai-mode-traffic-data-search-console-457076

8. Search Engine Journal (2025). "Google AI Overviews: How To Measure Impressions & Track Visibility." https://www.searchenginejournal.com/google-aio-track-visibility-serpapi-spcs/560470/

9. Keyword.com (2025). "Google AI Mode Tracker." https://keyword.com/ai-mode-tracker/

10. Profound (2025). "AI Platform Citation Patterns: How ChatGPT, Google AI Overviews, and Perplexity Source Information." https://www.tryprofound.com/blog/ai-platform-citation-patterns

11. Otterly.AI (2025). "AI Search Monitoring Tool." https://otterly.ai/

12. SE Ranking (2026). "AI Search Visibility Tool." https://seranking.com/ai-visibility-tracker.html

13. Ahrefs (2025). "AI Overviews vs AI Mode." https://ahrefs.com/blog/ai-overviews-vs-ai-mode/

14. Columbia Journalism Review (2025). "AI Search Has a Citation Problem." https://www.cjr.org/tow_center/we-compared-eight-ai-search-engines-theyre-all-bad-at-citing-news.php

---